Learning to Compress Prompts with Gist Tokens
–Neural Information Processing Systems
Finetuning and distillation methods allow for specialization of LMs without prompting, but require retraining the model for each task.
Neural Information Processing Systems
Nov-15-2025, 11:27:32 GMT
- Country:
- Asia > Middle East
- UAE > Abu Dhabi Emirate > Abu Dhabi (0.04)
- Europe
- France
- Grand Est > Bas-Rhin
- Strasbourg (0.04)
- Occitanie > Haute-Garonne
- Toulouse (0.04)
- Provence-Alpes-Côte d'Azur > Bouches-du-Rhône
- Marseille (0.04)
- Île-de-France > Paris
- Paris (0.04)
- Grand Est > Bas-Rhin
- Monaco (0.04)
- Romania > Sud - Muntenia Development Region
- Giurgiu County > Giurgiu (0.04)
- United Kingdom (0.04)
- France
- North America > United States
- California
- Los Angeles County > Los Angeles (0.04)
- Santa Clara County > Palo Alto (0.04)
- Illinois > Cook County
- Chicago (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Wyoming (0.04)
- California
- Asia > Middle East
- Genre:
- Research Report (0.68)
- Industry:
- Health & Medicine (0.68)
- Technology: